Cikkek nyilvánosan hozzáférhető megbízással - Huizhong LiTovábbi információ
Sehol sem hozzáférhető: 4
Practical public template attacks on crystals-dilithium with randomness leakages
Z Qiao, Y Liu, Y Zhou, J Ming, C Jin, H Li
IEEE Transactions on Information Forensics and Security 18, 1-14, 2022
Megbízások: National Natural Science Foundation of China
Mind the balance: Revealing the vulnerabilities in low entropy masking schemes
J Ming, Y Zhou, W Cheng, H Li, G Yang, Q Zhang
IEEE Transactions on Information Forensics and Security 15, 3694-3708, 2020
Megbízások: National Natural Science Foundation of China
Optimizing higher-order correlation analysis against inner product masking scheme
J Ming, Y Zhou, W Cheng, H Li
IEEE Transactions on Information Forensics and Security 17, 3555-3568, 2022
Megbízások: Chinese Academy of Sciences, National Natural Science Foundation of China
APT: Efficient side-channel analysis framework against inner product masking scheme
J Ming, W Cheng, Y Zhou, H Li
2021 IEEE 39th International Conference on Computer Design (ICCD), 575-582, 2021
Megbízások: National Natural Science Foundation of China
Valahol hozzáférhető: 7
Convolutional neural network based side-channel attacks in time-frequency representations
G Yang, H Li, J Ming, Y Zhou
Smart Card Research and Advanced Applications: 17th International Conference …, 2019
Megbízások: National Natural Science Foundation of China
The notion of transparency order, revisited
H Li, Y Zhou, J Ming, G Yang, C Jin
The Computer Journal 63 (12), 1915-1938, 2020
Megbízások: National Natural Science Foundation of China
Cdae: towards empowering denoising in side-channel analysis
G Yang, H Li, J Ming, Y Zhou
International Conference on information and communications security, 269-286, 2019
Megbízások: National Natural Science Foundation of China
A secure and highly efficient first-order masking scheme for AES linear operations
J Ming, Y Zhou, H Li, Q Zhang
Cybersecurity 4, 1-15, 2021
Megbízások: National Natural Science Foundation of China
Transparency order versus confusion coefficient: a case study of NIST lightweight cryptography S-Boxes
H Li, G Yang, J Ming, Y Zhou, C Jin
Cybersecurity 4, 1-20, 2021
Megbízások: National Natural Science Foundation of China
Revealing the weakness of addition chain based masked SBox implementations
J Ming, H Li, Y Zhou, W Cheng, Z Qiao
IACR Transactions on Cryptographic Hardware and Embedded Systems, 326-350, 2021
Megbízások: National Natural Science Foundation of China
Assessment of Addition‐Chain‐Based Masked S‐Box Using Deep‐Learning‐Based Side‐Channel Attacks
H Li, J Ming, Y Zhou
Security and Communication Networks 2022 (1), 7771621, 2022
Megbízások: National Natural Science Foundation of China
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